Radiometric correction and 3D integration of long-range ground-based hyperspectral imagery for mineral exploration of vertical outcrops

Sandra Lorenz, Sara Salehi, Moritz Kirsch, Robert Zimmermann, Gabriel Unger, Erik Vest Sørensen, Richard Gloaguen

Research output: Contribution to journalArticleResearchpeer-review

34 Citations (Scopus)

Abstract

Recently, ground-based hyperspectral imaging has come to the fore, supporting the arduous task of mapping near-vertical, difficult-to-access geological outcrops. The application of outcrop sensing within a range of one to several hundred metres, including geometric corrections and integration with accurate terrestrial laser scanning models, is already developing rapidly. However, there are few studies dealing with ground-based imaging of distant targets (i.e., in the range of several kilometres) such as mountain ridges, cliffs, and pit walls. In particular, the extreme influence of atmospheric effects and topography-induced illumination differences have remained an unmet challenge on the spectral data. These effects cannot be corrected by means of common correction tools for nadir satellite or airborne data. Thus, this article presents an adapted workflow to overcome the challenges of long-range outcrop sensing, including straightforward atmospheric and topographic corrections. Using two datasets with different characteristics, we demonstrate the application of the workflow and highlight the importance of the presented corrections for a reliable geological interpretation. The achieved spectral mapping products are integrated with 3D photogrammetric data to create large-scale now-called "hyperclouds", i.e., geometrically correct representations of the hyperspectral datacube. The presented workflow opens up a new range of application possibilities of hyperspectral imagery by significantly enlarging the scale of ground-based measurements.

Original languageEnglish
Article number176
Number of pages23
JournalRemote Sensing
Volume10
Issue number2
DOIs
Publication statusPublished - Feb 2018

Keywords

  • Atmospheric correction
  • Hyperspectral
  • Long-distance
  • Long-range
  • Maarmorilik
  • Mineral mapping
  • Minimum wavelength mapping
  • Photogrammetry
  • Radiometric correction
  • Riotinto
  • Structure from Motion (SfM)
  • Topographic correction

Programme Area

  • Programme Area 4: Mineral Resources

Fingerprint

Dive into the research topics of 'Radiometric correction and 3D integration of long-range ground-based hyperspectral imagery for mineral exploration of vertical outcrops'. Together they form a unique fingerprint.

Cite this